Paper2Poster: Towards Multimodal Poster Automation from Scientific Papers
Paper • 2505.21497 • Published • 109
Datasets:
title stringlengths 22 120 | conference stringclasses 3
values | year int32 2.02k 2.02k | paper_url stringlengths 32 125 | image_url stringlengths 54 89 | qa stringlengths 48.7k 57.2k |
|---|---|---|---|---|---|
Biologically-inspired adaptive learning in the Hopfield-network based self-optimization model | NeurIPS | 2,023 | https://openreview.net/pdf?id=WjHYgEfXiV | {
"detail": {
"questions": {
"Question 1": {
"question": "What is the exact title of the poster?",
"options": [
"A. Metaplastic Hopfield architectures for continual learning",
"B. Adaptive Hopfield memories for deep learning... | |
The Hessian Screening Rule | NeurIPS | 2,022 | https://proceedings.neurips.cc/paper_files/paper/2022/file/65a925049647eab0aa06a9faf1cd470b-Paper-Conference.pdf | {
"detail": {
"questions": {
"Question 1": {
"question": "What is the title of the work presented in the poster?",
"options": [
"A. Safe Feature Elimination Framework",
"B. Dynamic Sasvi Method",
"C. The ... | |
Transformers, parallel computation, and logarithmic depth | ICML | 2,024 | https://arxiv.org/pdf/2402.09268 | {
"detail": {
"questions": {
"Question 1": {
"question": "What is the exact title of the poster?",
"options": [
"A. Log\u2011Depth Neural Models for Graph Tasks",
"B. Parallel Attention Networks for Sequential Data",
... | |
Neural Tangent Kernels for Axis-Aligned Tree Ensembles | ICML | 2,024 | https://arxiv.org/pdf/2109.04983 | "{\n \"detail\": {\n \"questions\": {\n \"Question 1\": {\n \"qu(...TRUNCATED) | |
"CW-ERM: Improving Autonomous Driving Planning with Closed-loop Weighted Empirical Risk Minimization(...TRUNCATED) | NeurIPS | 2,022 | https://arxiv.org/pdf/2210.02174 | "{\n \"detail\": {\n \"questions\": {\n \"Question 1\": {\n \"qu(...TRUNCATED) | |
Identifying the Context Shift between Test Benchmarks and Production Data | NeurIPS | 2,022 | https://arxiv.org/pdf/2207.01059 | "{\n \"detail\": {\n \"questions\": {\n \"Question 1\": {\n \"qu(...TRUNCATED) | |
Neural Unbalanced Optimal Transport via Cycle-Consistent Semi-Couplings | NeurIPS | 2,022 | https://arxiv.org/pdf/2209.15621 | "{\n \"detail\": {\n \"questions\": {\n \"Question 1\": {\n \"qu(...TRUNCATED) | |
Inner Classifier-Free Guidance and Its Taylor Expansion for Diffusion Models | ICLR | 2,024 | https://openreview.net/pdf?id=0QAzIMq32X | "{\n \"detail\": {\n \"questions\": {\n \"Question 1\": {\n \"qu(...TRUNCATED) | |
Butterfly Effects of SGD Noise: Error Amplification in Behavior Cloning and Autoregression | ICLR | 2,024 | https://arxiv.org/pdf/2310.11428 | "{\n \"detail\": {\n \"questions\": {\n \"Question 1\": {\n \"qu(...TRUNCATED) | |
Collective Certified Robustness against Graph Injection Attacks | ICML | 2,024 | https://arxiv.org/pdf/2403.01423 | "{\n \"detail\": {\n \"questions\": {\n \"Question 1\": {\n \"qu(...TRUNCATED) |
End of preview. Expand in Data Studio
📊 Paper2Poster Dataset
ArXiv | Project Page |
📁 Data Format
| Field | Description |
|---|---|
title |
Paper title |
conference |
Conference of the paper |
year |
Year of conference |
paper_url |
URL of author created poster |
image_url |
URL of author created poster |
qa |
JSON of PaperQuiz QA |
💡 Usage Example
You can load using the Hugging Face datasets library:
from datasets import load_dataset
# Load from 'train' split
dataset = load_dataset("Paper2Poster/Paper2Poster", split="train")
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